Advanced 3D Food Printing with Simultaneous Cooking and Generative AI Design.

Journal: Advanced materials (Deerfield Beach, Fla.)
PMID: 40012406

Abstract

3D food printing is an indispensable technology for emerging food technologies. However, conventional nonconcurrent postprocessing methods limit the final food quality, including the unappealing nature of food ink modification, imperfections in retaining the desired food shape, and the risk of microbial contamination. Here, an artificial intelligence (AI)-enhanced solution is developed to achieve extrusion-based printing with simultaneous infrared heating, enabling in-line and rapid cooking of complex starch-based food. Noncontact graphene heaters as cooking sources present outstanding food quality control with microbial studies, microstructure analysis, and heat transfer simulation models. This integrative 3D food printing method with AI-enhanced food pattern generation and in-situ cooking significantly expands the applications for customized food creation. It paves the way for the broader adoption of heating-based 3D printing of functional materials.

Authors

  • Connie Kong Wai Lee
    Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China.
  • Yang Xu
    Dermatological Department, Nan Chong Center Hospital, Nanchong, China.
  • Qiaoyaxiao Yuan
    Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China.
  • Yee Him Chan
    Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China.
  • Wing Yan Poon
    Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China.
  • Haosong Zhong
    Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China.
  • Siyu Chen
    School of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China.
  • Mitch Guijun Li
    Center for Smart Manufacturing, Division of Integrative Systems and Design, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China.

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